design integration manager - mission critical

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design integration manager - mission critical Jobs in San Francisco

distinguished software data engineer Jobs in San Francisco

distinguished software data engineer

distributed systems engineer

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $176,400 - $243,600 a year
 
 
 The target base salary for this position ranges from $176,400/year to $243,600/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - San Francisco / New York City / Seattle
 
 
 Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
 
 
 Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
 
 
 Zone 4 - All other US cities
 
 
 The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

KREA

<div>About Krea
At Krea, we are building next-generation AI creative tools.
We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.
We believe AI is a new medium that allows us to express ourselves through various formats&mdash;text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.
Supercomputing / AI Infra at Krea
We build and operate the infrastructure for Krea's research and inference. Distributed training, 1000+ K8s GPU clusters, petabyte scale data pipelines, etc. We build a lot of this from scratch &mdash; custom distributed datastores, job orchestration systems, and streaming pipelines that replace tools like Kafka and Ray for modern AI workloads at scale.
Example projects:
Distributed data systems<ul><li>
Design multi-stage pipelines that turn petabytes of raw data into clean, annotated datasets</li><li>
Run classification models on billions of images</li><li>
Deploy and combine LLMs to caption massive multimedia data</li></ul>
GPU infrastructure<ul><li>
Manage distributed training and inference on 1000+ GPU Kubernetes clusters</li><li>
Solve orchestration and scaling for large-scale GPU job processing</li><li>
Scale workloads and research between clusters in multiple datacenters</li></ul>
Distributed training<ul><li>
Profile and optimize dataloaders streaming thousands of images per second</li><li>
Profile and debug InfiniBand networking on huge training runs</li><li>
Build fault tolerance systems for large-scale pretraining</li><li>
Collaborate with researchers on evolving RL infrastructure</li></ul>
Applied ML pipelines<ul><li>
Find clean scenes in millions of videos using distributed shot-boundary detection</li><li>
Customize and train models to filter billions of images for questions like &quot;is this a screenshot?&quot;</li><li>
Build the systems that bridge raw cluster capacity and research output</li></ul>
Who we're looking for:
Systems people. If you've read a blog post about InfiniBand debugging or building a custom distributed database and thought &quot;I want to do that&quot; &mdash; this is that team.
You'll spend your time working heavily with Python, Kubernetes, Torch, and data tools like DuckDB, Arrow, etc. It's OK if you don't have K8s or ML experience &mdash; the main thing we hire for is an intuition for distributed systems, and a great mental model of how systems interact and function under different conditions.
Strong candidates may have experience with&hellip;<ul><li>
Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy&hellip;</li><li>
Kubernetes</li><li>
Designing and implementing large-scale ETL systems</li><li>
Fundamental knowledge of containerization, operating systems, file-systems, and networking</li><li>
Distributed systems design</li><li>
Distributed training systems (NCCL, InfiniBand, RDMA)</li><li>
Streaming and event processing systems (Kafka, Pulsar, or similar)</li><li>
PyTorch internals, custom dataloaders, and training infrastructure</li></ul></div>

Engineer, Supercomputing & Distributed Systems

The Trade Desk

<div>The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

What we do

Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders.

At The Trade Desk, we believe in building the back-end infrastructure of our platform with a focus on quality at scale. This means whether we are building parts of our client-facing applications, internal custom solutions for our own team members, or model pipelines for bidding optimizations, we are making sure that we have infrastructure, development, and tools to do it right and efficiently.

Our system performs all day, every day serving global traffic. We build a distributed system in a highly collaborative environment, utilizing a broad range of technologies. Our back-end developers work on finding solutions to algorithmic, optimization and scale challenges in everything we do.

About the role:

The Trade Desk Software Engineers are best described as end-to-end owners.
<ul>
<li>You will participate actively in all aspects of product strategy &ndash; from designing, building, and delivering products for our clients.</li>
<li>We have dozens of individual, mission-focused teams working across a wide spectrum of technological challenges.</li>
<li>You will have the opportunity, depending on your interests and aptitude, to lead engineers that focus on building large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces &ndash; to name a few.</li>
<li>Software Engineers contribute to more than our product &ndash; they help build up our team. Through a combination of mentoring and technical leadership of local teams, you will make others better and raise the bar for those around you.</li>
</ul>
We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.

Who you are:

Our culture is much deeper than just having fun together (though, we do that well too...). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:
<ul>
<li>The ideal candidate will have 2 to 5 years of impactful hands-on software engineering experience</li>
<li>You are a strong communicator. You're able to collaborate cross functionally with data scientists and root cause pain points in their workflow.</li>
<li>You have a passion for improving the efficiency of others. The work you will do in Machine Learning Operations will have a big impact on both the data scientists and the data engineers in our organization.</li>
<li>Experience building large scale data pipelines with spark is a plus.</li>
<li>Experience building machine learning models is a plus.</li>
<li>You have a Bachelor's/Master's level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.</li>
<li>You think beyond just the task at hand to deeply understand the 'why' behind what you &amp; your team are doing.</li>
<li>You are a driver. You will own technical milestones and projects in a ground-breaking and fast-paced environment, driving them from inception till completion. This includes task planning, individual code contribution, and code reviews.</li>
<li>You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work.</li>
<li>You are able to work from first principles to evaluate solutions and adapt them to a unique environment.</li>
<li>You are a broadly skilled engineer, accustomed to developing web services.</li>
<li>You have experience building always-on systems, working across a variety of technologies and service layers.</li>
<li>You have a product-focused mindset.</li>
<li>You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world's largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.</li>
<li>You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work.</li>
<li>You have strongly-held, defensible ideas, and advocate for what you believe is right.</li>
<li>You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.</li>
<li>You value, seek out, and foster diversity.</li>
</ul>
Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
#LI-AD1<div>

As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.

Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.

When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.</div></div>

Software Engineer II - Data Workflow

Airwallex

<div><h2 class="jobSectionHeader">About Airwallex</h2>
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide &ndash; including Brex, Rippling, Navan, Qantas, SHEIN and many more &ndash; with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you&rsquo;re ready to do the most ambitious work of your career, join us.<h2 class="jobSectionHeader">
Attributes We Value</h2>
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you&rsquo;re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you &ldquo;get stuff done&rdquo; end-to-end. You use AI to work smarter and solve problems faster. Here, you&rsquo;ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let&rsquo;s build what&rsquo;s next.<h1 class="jobSectionHeader">
Location: San Francisco</h1><h2 class="jobSectionHeader">
Who You Are &amp; Role Overview</h2>
The Platform Engineering team is architecting Airwallex&rsquo;s next-generation foundational infrastructure. We are moving beyond standard pipelines to build a high-performance, distributed ecosystem that powers real-time AI enablement and global financial data.
We aim to push the boundaries of distributed storage, stream processing, and service-layer interfaces. We are looking for &quot;Engineers&rsquo; Engineers&quot;&mdash;builders who enjoy diving into the internals of distributed systems, optimizing JVM performance, and implementing robust architectural patterns like Lakehouse and real-time data.<h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li>
Architect &amp; Build: Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers.</li><li>
Systems Optimization: Deep-dive into performance tuning and systems internals&mdash;such as state management, checkpointing, and exactly-once semantics&mdash;to ensure millisecond-level accuracy at global scale.</li><li>
AI Infrastructure: Develop and integrate the &quot;Knowledge Platform,&quot; enabling AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming.</li><li>
Distributed Systems at Scale: Own the full SDLC for high-performance distributed systems (batch and streaming) that process petabytes of data across 30+ global regions.</li><li>
Engineering Rigor: Advocate for elite software engineering practices, contributing to shared tooling, SDKs, and automation frameworks that enhance the productivity of engineering teams company-wide.</li><li>
Mentorship: Act as a technical beacon and mentor for mid-level engineers, driving project delivery through design reviews and technical leadership.</li></ul><h2 class="jobSectionHeader">
You might be a great fit if you:</h2><ul><li>
Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.</li><li>
First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols.</li><li>
The &quot;Builder&quot; Stack: Are proficient in Java, Kotlin, or Go. You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines.</li><li>
Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability.</li><li>
Curiosity &amp; Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact.</li></ul><h2 class="jobSectionHeader">
Applicant Safety Policy: Fraud and Third-Party Recruiters</h2>
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.<h2 class="jobSectionHeader">
Equal opportunity</h2>
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don&rsquo;t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $158K - $260K</div>

Senior Software Engineer, Data Platform & AI Enablement

Coinbase

<div><div>Ready to be pushed beyond what you think you're capable of?

At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform &mdash; and with it, the future global financial system.

To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.</div>
We're looking for a Senior Software Engineer to join the Blockchain Data Storage team!

Our team has built the fundamental Web3 infrastructure, the data layer, by delivering an open-source, industry-leading suite of data availability solutions, ChainStack, to ensure efficient and scalable access. ChainStack is designed to ingest, index, and parse vast amounts of crypto data with minimal latency, providing a comprehensive solution to a widespread industry challenge. Come join us!

What you'll be doing:
<ul>
<li>Architect and develop distributed systems</li>
<li>Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps</li>
<li>Manage individual projects priorities, deadlines and deliverables with your technical expertise</li>
<li>Mentor and train other team members on design techniques and coding standards</li>
<li>Design and implement foundational infrastructure components used by every engineering team in production (e.g. dynamic configuration, secrets storage, container orchestration, etc)</li>
<li>Write high quality, well tested code to meet the needs of your customers</li>
</ul>
What we look for in you:
<ul>
<li>5+ years of experience in software engineering</li>
<li>Very strong in distributed systems or data systems. If you are experienced with Crypto, it's a big plus!</li>
<li>You've experienced architecting and developing solutions to ambiguous problems with significant impact</li>
<li>You're passionate about building an indexing platform that brings the Web3 and Web2 world together</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
 Nice to haves:
<ul>
<li>You have gone through a rapid growth in your company (from 10 to 100s of engineers)</li>
<li>You have experience with Blockchains (such as Bitcoin, Ethereum etc.)</li>
<li>You have experience decomposing a large monolith into microservices</li>
<li>You've worked with Golang, Kafka, Redis, S3, Clickhouse, MongoDB</li>
<li>You've built financial, high reliability or security system</li>
</ul>
Job #: P74888
<div></div><div>
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
<h3 class="jobSectionHeader">
Commitment to Equal Opportunity</h3>

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
<h3 class="jobSectionHeader">
Global Data Privacy Notice for Job Candidates and Applicants</h3>

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
<h3 class="jobSectionHeader">AI Disclosure</h3>

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com</div></div>

Senior Software Engineer, Blockchain Data Storage

OpenAI

<div>
 
 About The Team
 
 
 
 The Storage Infrastructure team builds and operates the storage foundation behind OpenAI&rsquo;s most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time.
 
 
 Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution.
 
 
 
 About The Role
 
 
 
 You will help build the storage platform that powers OpenAI&rsquo;s research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production.
 
 
 You&rsquo;ll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Build and operate storage services that underpin OpenAI&rsquo;s research infrastructure
 </li>
 <li>
 Develop object storage systems across cloud and in-house environments
 </li>
 <li>
 Build systems for cross-region data movement, replication, and recovery
 </li>
 <li>
 Design lifecycle management capabilities that keep data durable, available, and cost-effective
 </li>
 <li>
 Evolve the federation layer that unifies multiple backend systems behind a simple interface
 </li>
 <li>
 Improve performance, reliability, and operational excellence across the platform
 </li>
 <li>
 Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have experience building or operating distributed systems in production
 </li>
 <li>
 Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems
 </li>
 <li>
 Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements
 </li>
 <li>
 Write strong production code, ideally in Rust or another systems-oriented language
 </li>
 <li>
 Are comfortable working with Kubernetes-based systems
 </li>
 <li>
 Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Software Engineer, Compute - Storage

<div>
 
 About The Team
 
 
 
 Core backend engineering is central to delivering reliable, scalable, and performant AI-driven products. Our Backend teams span Search Infrastructure, Platform Engineering, Personalization, Ecosystems, Growth, and more&mdash;building services, data systems, and APIs that power ChatGPT&rsquo;s global footprint.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring Backend Software Engineers to design and implement the services and infrastructure powering ChatGPT.
 
 
 
 What You&rsquo;ll Do
 
 
 
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 Architect, build, and improve scalable backend systems and APIs.
 </li>
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 Drive performance, reliability, and security across distributed services.
 </li>
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 Work closely with product, data science, and frontend teams.
 </li>
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 Implement data storage, retrieval, compute, and integration solutions.
 </li>
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 Participate in long-term architectural planning and technical design reviews.
 
 
 </li>
 </ul>
 
 You Might Thrive Here If You
 
 
 
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 <li>
 Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++).
 </li>
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 Enjoy building resilient services that handle large scale and complexity.
 </li>
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 Are passionate about system design, reliability, and operational excellence.
 
 
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 We are open to hiring in San Fransisco, New York and Seattle
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $185K - $385K
</div>

Backend Software Engineer, ChatGPT Engineering

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